4 results about "ProteinChips" patented technology

This invention discloses a method and system for identifying the origin and year of dried tangerine peel based on multi-biomimetic sensor fusion. The method includes: acquiring at least two biosensor response signals of the tangerine peel to be tested, wherein the at least two biosensor response signals include a first response signal from an olfactory receptor protein chip and a second response signal from a neuron chip; inputting the first and second response signals into a pre-trained first classification model and a second classification model respectively to obtain a first and second predicted origin and / or year corresponding to the tangerine peel to be tested; fusing the first and second predicted origin and / or year results, and outputting the origin and / or year identification result of the tangerine peel to be tested based on the fused result. This invention significantly improves the accuracy, reliability, and reproducibility of identifying the origin and year of dried tangerine peel, and achieves rapid, non-destructive on-site detection.

The application provides a protein chip for early warning of breast cancer and application thereof, the protein chip comprises an antigen group; the antigen group comprises antigens; antibodies corresponding to the antigens are at least one of 111 kinds of AKAP4, BRCA2, CIP2A, GIPC1, P53, SOX2, A1AT, ANGPTL4, BRAF, C1D, LRRC26 and the like; the protein chip is used for early warning and evaluation of breast cancer; steps of the early warning and evaluation include collecting serum of a to-be-tested crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-tested crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by using a high-throughput technology, and is used for risk early warning detection of breast cancer.

This invention provides a protein chip for early warning of liver cancer and its application. The protein chip includes an antigen set; the antigen set includes antigens; the antibodies corresponding to the antigens are at least one of 61 selected from GNA11, GNAS, IDH1, MSH2, NPM1, PAX5, PTCH1, PTEN, SRSF2, Survivin, CAST, PAIP1, PRKCZ, RAD23A, RUNX1T1, SARS, TP53, APEX2, RCSD1, and AIF1; the protein chip is used for early warning assessment of liver cancer, and the early warning assessment steps include: collecting serum from the target population, using the protein chip to detect the serum to obtain detection data, and then determining whether they belong to a low-risk, medium-risk, or high-risk population based on a risk warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals using high-throughput technology for early warning detection of liver cancer.

The application provides a background noise suppression system for a microarray protein chip, and relates to the technical field of chip detection, and comprises a collection module, which is used for collecting an original fluorescence image of the microarray protein chip by a laser confocal scanner at a preset excitation power, and taking the original fluorescence image as a to-be-processed signal matrix; an extraction module, which is used for locating three reference entities pre-solidified on a chip substrate from the to-be-processed signal matrix, the three reference entities being located at non-array regions of the upper left corner, the center point and the lower right corner of the chip respectively, and each reference entity being composed of inert fluorescent microspheres with a known concentration; and the mean values of the fluorescence intensities of local windows where the three reference entities are located are extracted respectively as discrete sampling values of spatial heterogeneity background noise. The application improves the low-abundance protein signal detection rate, reduces the quantitative deviation of the array edge, and improves the detection repeatability and quantitative accuracy.